Fine-Scale Spatial Genetic Structure in Emmer Wheat and the Role of Population Range Position

Fine-Scale Spatial Genetic Structure in Emmer Wheat and the Role of Population Range Position
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二粒小麦精细空间遗传结构及群体范围位置的作用

DOI:
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发表时间:
2014
影响因子:
2.5
通讯作者:
I. Shulgina
I. Shulgina
中科院分区:
生物学2区
文献类型:
--
作者:
S. Volis;Minshun Song;Yong;I. Shulgina

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植物种群内的空间遗传结构(SGS)程度取决于种子和花粉的传播距离、育种类型、自花受精水平和有效植物密度。具有重力分散种子的自受精物种具有较小的有效种群规模和较低的花粉运动,从而导致较高的遗传结构。由于较低的植物密度和种群规模,以及较低的基因流强度,在更多的斑块和外围种群中可以预期较高的SGS。我们对主要自交小麦的两个核心群体和两个外围群体进行了SGS分析,验证了这些预测。11颗核微卫星的SGS分析显示:(1)在所有研究群体中,个体对计算的亲缘关系系数与对成员之间地理距离的对数呈负线性关系;(2)距离达5米(核心种群)或20米(外围种群)的显著自相关。通过核和叶绿体变异的比较估计,花粉流在空间上是有限的,种子传播也是如此。我们的研究结果支持了SGS强度与育种系统、种子传播模式和种群范围位置(核心与外围)之间的假设关系。
The extent of spatial genetic structure (SGS) within plant populations depends on seed and pollen dispersal distance, breeding type, level of self-fertilization and effective plant density. Self-fertilizing species with gravity-dispersed seeds are expected to have both small effective population sizes and low pollen movement leading to high genetic structure. Higher SGS can be expected in more patchy and peripheral populations because of lower plant density and population sizes, and lower intensity of gene flow. We tested these predictions analyzing SGS in two core and two peripheral populations of predominantly self-fertilizing emmer wheat. Analysis of SGS with 11 nuclear microsatellites revealed (1) a negative linear relationship between kinship coefficients, calculated for pairs of individuals, and the logarithm of geographical distance between members of the pairs, in all studied populations; and (2) a significant autocorrelation for a distance up to 5 m (core populations) or 20 m (peripheral populations). Pollen flow, estimated from comparison of nuclear and chloroplast variation, was spatially limited, as was seed dispersal. Our results support a hypothesized relationship between SGS intensity and breeding system, the mode of seed dispersal and the population range position (core vs. periphery).
DOI: --
发表时间: 1992-05
期刊: Genetics
影响因子: 3.3
作者:
L. Excoffier;P. Smouse;J. Quattro
通讯作者: L. Excoffier;P. Smouse;J. Quattro